CN111639802A - Combustion engine unit operation optimization guidance method - Google Patents
Combustion engine unit operation optimization guidance method Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000005457 optimization Methods 0.000 title claims abstract description 12
- 238000002485 combustion reaction Methods 0.000 title claims description 10
- 238000010977 unit operation Methods 0.000 title claims description 5
- 239000007789 gas Substances 0.000 claims description 29
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 18
- 239000002918 waste heat Substances 0.000 claims description 16
- 239000003345 natural gas Substances 0.000 claims description 9
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 4
- 238000011156 evaluation Methods 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000010248 power generation Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000010206 sensitivity analysis Methods 0.000 description 2
- 230000032683 aging Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
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- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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Abstract
The invention discloses a method for guiding the operation optimization of a gas turbine unit, which comprises the following steps: firstly, acquiring related real-time uncontrollable parameters and related historical uncontrollable parameters at a certain moment, calculating the similarity of operating conditions at two moments by using Euclidean distance or Manhattan distance, artificially setting a threshold, and searching for the uncontrollable parameter at another moment if the similarity is smaller than the threshold and if the similarity is not smaller than the threshold; if yes, continuously judging whether the real-time gas consumption rate is larger than the gas consumption rate under the historical moment operation condition, and if not, searching an uncontrollable parameter at another moment; if so, adjusting the current controllable parameters to the value of the historical moment so as to ensure that the unit continuously operates under the most working condition. The invention obtains the historical optimal gas consumption of the gas-steam combined cycle generator set under the same working condition based on the real-time and historical operating data of the generator set so as to guide the optimal operation of the generator set.
Description
Technical Field
The invention belongs to the technical field of gas turbine power stations, and particularly relates to a method for guiding operation optimization of a gas turbine unit.
Background
At present, when the operation of a gas-steam combined cycle generator set is optimized in China, the design parameters of the rated working condition of the unit are mainly referred to or the operation experience of the unit is based on, but most of the time of the unit in actual operation is in the non-rated working condition, the influence of the factors such as parameter deviation, equipment aging and deterioration on the performance of the unit changes along with the changes of the load condition, the operation working condition and meteorological parameters (such as atmospheric temperature and humidity), and a technical method for effectively optimizing the operation level of the combined cycle unit is lacked at present. The gas turbine generator set in China mainly depends on introducing foreign products, the mastery of the thermodynamic characteristics of the set and sub-equipment and related data are poor compared with those of a domestic coal-fired set, the comprehensive diagnosis and optimization technical experience of a thermodynamic system are lacked, and particularly the quantitative analysis research on the local change economy of the thermodynamic system is lacked.
Massive historical data stored in the power plant and real-time data generated in operation imply a great deal of information which has positive guiding significance for improving the production efficiency and economic safety of the power plant, but the data lack deep utilization, deeper rules of data hiding cannot be found, and the guiding effect of the massive historical data on power production is fully exerted.
The method combines the unit optimized operation and state monitoring with a big data technology, develops the research of a power station unit modeling method based on the big data technology, fully excavates a large amount of valuable information contained in data, develops and utilizes the potential value hidden behind the data to guide the unit optimized operation, perfect the unit real-time state monitoring, improve the unit economy and reduce the energy consumption, and becomes the research and development direction of the current power production.
At present, consumption difference analysis is a main means for optimizing operation of a gas-steam combined cycle generator set. The method mainly shows the actual value and the target value of the related consumption difference parameters and the influence quantity on the power generation and gas consumption of the unit, and can quantitatively analyze and adjust various factors influencing the optimized operation of the unit.
The main disadvantage of the differential analysis method is that the precondition for optimizing one of the controllable parameters is to assume that the other parameters are unchanged. For example, when the influence and change sensitivity analysis of the change of the temperature of the natural gas at the inlet of the combustion chamber on the gas consumption of the whole unit is considered, under the precondition that other controllable parameters including the high-pressure main steam temperature of the waste heat boiler, the medium-pressure main steam temperature of the waste heat boiler, the temperature-reduced water flow of the reheated steam of the waste heat boiler, the exhaust gas temperature of the waste heat boiler, the high-pressure main steam temperature of the steam turbine and the medium-pressure main steam temperature of the steam turbine are not changed, the influence and change sensitivity analysis is basically impossible in the actual operation. The changes of various parameters are coupled with each other, so that the influence of the change of a certain parameter on the operation efficiency of the unit can be quantitatively researched on the consumption analysis surface, but the influence cannot be actually realized.
Disclosure of Invention
The invention aims to provide a method for guiding the running optimization of a combustion engine unit aiming at the defects of the prior art.
The invention is realized by adopting the following technical scheme:
a method for guiding operation optimization of a combustion engine unit comprises the following steps: firstly, acquiring related real-time uncontrollable parameters and related historical uncontrollable parameters at a certain moment, calculating the similarity of operating conditions at two moments by using Euclidean distance or Manhattan distance, artificially setting a threshold, and searching for the uncontrollable parameter at another moment if the similarity is smaller than the threshold and if the similarity is not smaller than the threshold; if yes, continuously judging whether the real-time gas consumption rate is larger than the gas consumption rate under the historical moment operation condition, and if not, searching an uncontrollable parameter at another moment; if so, adjusting the current controllable parameters to the value of the historical moment so as to ensure that the unit continuously operates under the most working condition.
The further improvement of the invention is that the method specifically comprises the following implementation steps:
1) setting a parameter target value: the gas consumption rate of the unit is used as an evaluation basis for measuring the quality of the operation condition of the unit; wherein the uncontrollable parameters are set as: power supply load, heat supply load, natural gas calorific value, ambient temperature, atmospheric pressure and ambient humidity, controllable parameter sets to: the method comprises the following steps of (1) enabling the temperature of natural gas at the inlet of a combustion chamber, the temperature of high-pressure main steam of a waste heat boiler, the temperature of medium-pressure main steam of the waste heat boiler, the temperature-reduced water flow of reheated steam of the waste heat boiler, the exhaust gas temperature of the waste heat boiler, the temperature of high-pressure main steam of a steam turbine and the temperature of medium-pressure main steam of the;
2) working condition matching: similarity description of the unit operation condition cases is carried out by using a geometric model method based on distance information, and similarity functions of current steady-state operation condition data Xi and cases Xij in a unit case library are expressed as follows:
Abs(X1j-X1)/X1<＝1％ (1)
Abs(X2j-X2)/X2<＝5％ (2)
Abs(X3j-X3)/X3<＝5％(3)
Abs(X4j-X4)/X4<＝1％ (4)
Abs(X5j-X5)/X5<＝1％ (5)
Abs(X6j-X1)/X6<＝1％ (6)
xi represents values of 6 uncontrollable parameter real-time measuring points under the current steady-state operation condition, Xij represents case values of 6 uncontrollable parameters of a case in a unit case library, j is 1,2, and 6, i is 1, 2; calculating the similarity between the current steady-state operation working condition data and the historical working condition of the unit by using the formulas (1) to (6), and taking the historical working conditions conforming to the formulas (1) to (6) as matching working conditions;
3) comparing the gas consumption rate of the unit: and if YIj is less than Yi, YI is equal to YIj, and the controllable operation parameters are adjusted to Zk equal to Zkj, k equal to 1,2, … and 9 so as to guide the optimized operation of the unit parameters.
The invention has at least the following beneficial technical effects:
according to the invention, the historical working condition similar to the current-time operation working condition can be searched in the massive historical data, and the current controllable parameters are adjusted to the value of the historical working condition by comparing if the gas consumption rate at the current time is found to be larger than the gas consumption rate of the similar historical working condition, so that the operation working condition of the unit is always the optimal working condition, the gas consumption rate is minimized, the cost of a power generation enterprise is reduced, and the purpose of improving profits is achieved. The method is technically characterized in that the historical optimal gas consumption of the gas-steam combined cycle generator set under the same working condition is obtained based on real-time and historical operating data of the generator set so as to guide the optimal operation of the generator set.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
As shown in fig. 1, the method for guiding the operation optimization of the combustion engine set provided by the invention comprises the following steps: firstly, acquiring related real-time uncontrollable parameters and related historical uncontrollable parameters at a certain moment, calculating the similarity of operating conditions at two moments by using Euclidean distance or Manhattan distance, artificially setting a threshold, and searching for the uncontrollable parameter at another moment if the similarity is smaller than the threshold and if the similarity is not smaller than the threshold; if yes, continuously judging whether the real-time gas consumption rate is larger than the gas consumption rate under the historical moment operation condition, and if not, searching an uncontrollable parameter at another moment; if so, adjusting the current controllable parameters to the value of the historical moment so as to ensure that the unit continuously operates under the most working condition.
And operating technical methods such as big data correlation analysis and the like, fully considering the overall influence of power supply change, heat supply change, natural gas composition and heat value change and environmental change (local environmental temperature, environmental humidity and atmospheric pressure) on the unit operating efficiency, and researching to obtain an overall operation optimization parameter scheme of the combined cycle unit. The working condition matching parameters mainly considered are shown in table 1.
TABLE 1 Condition matching parameters
| Name of survey point | Name of variable | Unit of |
| Ambient temperature | X1 | ℃ |
| Atmospheric pressure | X2 | MPa |
| Humidity of the environment | X3 | ％ |
| Natural gas calorific value | X4 | kJ/kg |
| Power supply load | X5 | MW |
| Heating load | X6 | MW |
The overall optimized operating parameters obtained are mainly shown in table 2.
TABLE 2 controllable Overall optimization of operating parameters
1) Setting a parameter target value: the gas consumption rate of the unit is used as an evaluation basis for measuring the quality of the operation condition of the unit; wherein the uncontrollable parameters are set as: power supply load, heat supply load, natural gas calorific value, ambient temperature, atmospheric pressure and ambient humidity, controllable parameter sets to: the system comprises a combustion chamber inlet natural gas temperature, a waste heat boiler high-pressure main steam temperature, a waste heat boiler medium-pressure main steam temperature, waste heat boiler reheated steam temperature-reduction water flow, a waste heat boiler exhaust gas temperature, a steam turbine high-pressure main steam temperature and a steam turbine medium-pressure main steam temperature.
2) Working condition matching: similarity description of the unit operation condition cases is carried out by using a geometric model method based on distance information, and similarity functions of current steady-state operation condition data Xi and cases Xij in a unit case library are expressed as follows:
Abs(X1j-X1)/X1<＝1％ (1)
Abs(X2j-X2)/X2<＝5％ (2)
Abs(X3j-X3)/X3<＝5％ (3)
Abs(X4j-X4)/X4<＝1％ (4)
Abs(X5j-X5)/X5<＝1％ (5)
Abs(X6j-X1)/X6<＝1％ (6)
xi represents values of 6 uncontrollable parameter real-time measuring points under the current steady-state operation condition, Xij represents case values of 6 uncontrollable parameters of a case in a unit case library, j is 1,2, and 6, i is 1, 2; and (3) calculating the similarity between the current steady-state operation working condition data and the historical working condition of the unit by using the formulas (1) to (6), and taking the historical working conditions conforming to the formulas (1) to (6) as matching working conditions.
3) Comparing the gas consumption rate of the unit: and if YIj is less than Yi, YI is equal to YIj, and the controllable operation parameters are adjusted to Zk equal to Zkj, k equal to 1,2, … and 9 so as to guide the optimized operation of the unit parameters.
Practice proves that the invention can search historical working conditions similar to the current-time operating working conditions in massive historical data, and adjust the current controllable parameters to the values of the historical working conditions if the comparison shows that the current-time gas consumption rate is greater than the similar historical working conditions, so that the operating working conditions of the unit are always the optimal working conditions, the gas consumption rate is minimized, the cost of power generation enterprises is reduced, and the purpose of improving profits is achieved. The method is technically characterized in that the historical optimal gas consumption of the gas-steam combined cycle generator set under the same working condition is obtained based on real-time and historical operating data of the generator set so as to guide the optimal operation of the generator set.
Claims (2)
1. A method for guiding the operation optimization of a combustion engine unit is characterized by comprising the following steps: firstly, acquiring related real-time uncontrollable parameters and related historical uncontrollable parameters at a certain moment, calculating the similarity of operating conditions at two moments by using Euclidean distance or Manhattan distance, artificially setting a threshold, and searching for the uncontrollable parameter at another moment if the similarity is smaller than the threshold and if the similarity is not smaller than the threshold; if yes, continuously judging whether the real-time gas consumption rate is larger than the gas consumption rate under the historical moment operation condition, and if not, searching an uncontrollable parameter at another moment; if so, adjusting the current controllable parameters to the value of the historical moment so as to ensure that the unit continuously operates under the most working condition.
2. The method for guiding the running optimization of the gas turbine unit as claimed in claim 1, is characterized by comprising the following implementation steps:
1) setting a parameter target value: the gas consumption rate of the unit is used as an evaluation basis for measuring the quality of the operation condition of the unit; wherein the uncontrollable parameters are set as: power supply load, heat supply load, natural gas calorific value, ambient temperature, atmospheric pressure and ambient humidity, controllable parameter sets to: the method comprises the following steps of (1) enabling the temperature of natural gas at the inlet of a combustion chamber, the temperature of high-pressure main steam of a waste heat boiler, the temperature of medium-pressure main steam of the waste heat boiler, the temperature-reduced water flow of reheated steam of the waste heat boiler, the exhaust gas temperature of the waste heat boiler, the temperature of high-pressure main steam of a steam turbine and the temperature of medium-pressure main steam of the;
2) working condition matching: similarity description of the unit operation condition cases is carried out by using a geometric model method based on distance information, and similarity functions of current steady-state operation condition data Xi and cases Xij in a unit case library are expressed as follows:
Abs(X1j-X1)/X1<＝1％ (1)
Abs(X2j-X2)/X2<＝5％ (2)
Abs(X3j-X3)/X3<＝5％ (3)
Abs(X4j-X4)/X4<＝1％ (4)
Abs(X5j-X5)/X5<＝1％ (5)
Abs(X6j-X1)/X6<＝1％ (6)
xi represents values of 6 uncontrollable parameter real-time measuring points under the current steady-state operation condition, Xij represents case values of 6 uncontrollable parameters of a case in a unit case library, j is 1,2, and 6, i is 1, 2; calculating the similarity between the current steady-state operation working condition data and the historical working condition of the unit by using the formulas (1) to (6), and taking the historical working conditions conforming to the formulas (1) to (6) as matching working conditions;
3) comparing the gas consumption rate of the unit: and if YIj is less than Yi, YI is equal to YIj, and the controllable operation parameters are adjusted to Zk equal to Zkj, k equal to 1,2, … and 9 so as to guide the optimized operation of the unit parameters.
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Cited By (7)
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| CN112488380A (en) * | 2020-11-26 | 2021-03-12 | 西安西热电站信息技术有限公司 | Unit steady-state working condition matching method and system based on similarity dynamic model |
| CN112683543A (en) * | 2020-12-21 | 2021-04-20 | 国网上海市电力公司 | Gas-steam combined cycle unit phase-feed capacity cooperative test method and device |
| CN113639256A (en) * | 2021-06-21 | 2021-11-12 | 华能国际电力股份有限公司大连电厂 | Power plant combustion optimization method and equipment |
| CN113701711A (en) * | 2021-09-02 | 2021-11-26 | 宁波九纵智能科技有限公司 | High-precision positioning method and system based on Beidou positioning and barometer |
| CN114094570A (en) * | 2021-11-05 | 2022-02-25 | 国能浙江余姚燃气发电有限责任公司 | Method and device for predicting power generation gas consumption of gas turbine unit |
| CN115455866A (en) * | 2022-10-31 | 2022-12-09 | 北京寄云鼎城科技有限公司 | Stable working condition identification method and system, equipment and medium |
| CN116244916A (en) * | 2022-12-29 | 2023-06-09 | 北京京桥热电有限责任公司 | Working condition optimizing method for gas generator set |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112488380A (en) * | 2020-11-26 | 2021-03-12 | 西安西热电站信息技术有限公司 | Unit steady-state working condition matching method and system based on similarity dynamic model |
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| CN113701711A (en) * | 2021-09-02 | 2021-11-26 | 宁波九纵智能科技有限公司 | High-precision positioning method and system based on Beidou positioning and barometer |
| CN113701711B (en) * | 2021-09-02 | 2023-11-03 | 宁波九纵智能科技有限公司 | High-precision positioning method and system based on Beidou positioning and barometer |
| CN114094570A (en) * | 2021-11-05 | 2022-02-25 | 国能浙江余姚燃气发电有限责任公司 | Method and device for predicting power generation gas consumption of gas turbine unit |
| CN115455866A (en) * | 2022-10-31 | 2022-12-09 | 北京寄云鼎城科技有限公司 | Stable working condition identification method and system, equipment and medium |
| CN115455866B (en) * | 2022-10-31 | 2023-02-24 | 北京寄云鼎城科技有限公司 | Stable working condition identification method and system, equipment and medium |
| CN116244916A (en) * | 2022-12-29 | 2023-06-09 | 北京京桥热电有限责任公司 | Working condition optimizing method for gas generator set |
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